code: def load_data():
      """Load dataset, use 20newsgroups dataset"""
      digits = load_digits()
      X_train, X_test, y_train, y_test = train_test_split(
          digits.data, digits.target, random_state=99, test_size=0.25
      )
  
      ss = StandardScaler()
      X_train = ss.fit_transform(X_train)
      X_test = ss.transform(X_test)
  
      return X_train, X_test, y_train, y_test
  
file_path: nni/examples/tutorials/scripts/trial_sklearn.py
imports: import nni
  from sklearn.model_selection import train_test_split
  from sklearn.datasets import load_digits
  from sklearn.preprocessing import StandardScaler
  from sklearn.svm import SVC
  import logging
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: load_data() and returns: X_train,  X_test,  y_train,  y_test